Content Owner
Additional Responsibilities
Associate Dean of Student Welfare in IET Lucknow Since 2017 and Associate Dean of Student Welfare in AKTU Lucknow since 2022
Educational Qualifications
- Ph.D. (Computer Science & Engineering) under supervision of Dr. Tapobrata Lahiri, Professor, IIIT Allahabad, India in 2015 from AKTU Lucknow.
- M.Tech from the Indian Institute of Information Technology, Allahabad, First Honours, CGPI - 9.19/10.
- B.Tech from Uttar Pradesh Technical University, Lucknow, India, First Honours, 75.6 %.
- Intermediate (10+2) from G.I.C. Allahabad, India with First Division, 70.10 %
- High School (10th ) from G.I.C. Allahabad, India with First Honours, 78.60 %
UGC-NET and GATE:
- Qualified (Two times) UGC-NET December 2014, June 2015
- Qualified (Two times) GATE Feb 2006, Feb 2016.
Research Interest
Human Cognition inspired Models, Artificial Intelligence, Fractal and Chaos based Theory, Image Processing, Biomedical Signal Processing, Soft Computing, Pattern Recognition, Robotics and Embedded in C, Machine Vision.
Dr. Upendra Kumar is working as Assistant Professor in Department of Computer Science and Engineering, in IET, Lucknow, India. He is also Associate Dean of Student Welfare in IET Lucknow and also Associate Dean of Student Welfare in AKTU, Lucknow, India from the past 07 years. He has done M.Tech. (IT) from IIIT Allahabad, and Ph. D. in Computer Science & Engineering from AKTU, Lucknow, India.
Research Projects
1) Cryptogrpahy, Strengthening research & education in Information Security, Information Security Education and Awareness (ISEA) Project Phase III, funded by Ministry of Electronics and Information Technology (MeitY), Government of India for 05 years, funding amount INR 2.016 crore (Approx.)
2) Development of Robust Sign Language and Hand Gesture Recognition System Using Image Processing and Machine Learning for Communication and Education of Hearing and Speech Impaired (HSI) people (Project ID-4204), funded by Council of Science and Technology, U.P., funding amount INR 13.04 Lakhs.
3) Artificial Intelligence-Driven Chronic Pain Management with Mobile App Integration for Empowering Primary Healthcare Physicians, funded by Indian Council of Medical Research (ICMR), New Delhi, India, for 03 years, funding amount INR 1.63 Crore (Approx.)
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Specialization
Human Cognition inspired Models, Artificial Intelligence, Machine Learning and Deep Learning, Fractal and Chaos based Analysis, Image Processing, Biomedical Signal Processing, Soft Computing, Pattern Recognition, Robotics and Embedded in C, Machine Vision, Cyber Security, Steganography.
Interest
Human Cognition inspired Models, Artificial Intelligence, Fractal and Chaos based Theory, Image Processing, Biomedical Signal Processing, Soft Computing, Pattern Recognition, Robotics and Embedded